Smart system for water quality monitoring utilizing long-range-based Internet of Things

Mutri, Muhammad Ary and Saputra, Andi Rudi Adhy and Alinursafa, Ibnu and Ahmed, Ali Najah and Yafouz, Ayman and El-Shafie, Ahmed (2024) Smart system for water quality monitoring utilizing long-range-based Internet of Things. Applied Water Science, 14 (4). p. 69. ISSN 2190-5487, DOI https://doi.org/10.1007/s13201-024-02128-z.

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Official URL: https://doi.org/10.1007/s13201-024-02128-z

Abstract

Water is the most basic need for humans and a source of livelihood for humans. Lack of human awareness to maintain water quality, causing water to become polluted, by both industrial and household waste, impacts on human health and material loss. Thus, it is important to create technology that can monitor water pollution automatically and quickly. This research aims to create a system which utilizes the Internet of Things (IoT) technology that can facilitate quality of water by measuring parameters such as pH and turbidity. The methodology of the system progresses by the usage of a controller which is ATmega328P-AU, pH sensor to measure acidity, turbidity sensor to measure turbidity level, LPWAN LoRa works like a communication of data transmission as well as cloud service, namely Antares, to store data that are sent via Android. Based on the outcomes, the proposed system has achieved a reliable accuracy with percentage error of 99.73% in pH sensor and 99.41% in the turbidity sensor. Also, 2.6 s is the average required time to deliver the results to the cloud service.

Item Type: Article
Funders: UNSPECIFIED
Uncontrolled Keywords: Water quality; Internet of Things (IoT); Android; LPWAN LoRa; Cloud service
Subjects: Q Science > Q Science (General)
T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering > Department of Civil Engineering
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 15 Oct 2024 02:13
Last Modified: 15 Oct 2024 02:13
URI: http://eprints.um.edu.my/id/eprint/45371

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